CrawlJobs Logo

Data Scientist, Strategic Intelligence & Risk

openai.com Logo

OpenAI

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

230000.00 - 325000.00 USD / Year

Job Description:

Lead econometric and experimental analysis to understand how risk changes in complex human–AI systems. Focus on measuring the magnitude and impact of risk shifts in a fast-paced, rapidly evolving operational environment. Design experiments and observational studies to identify causal drivers and analyze changes in risk across a wide range of surfaces and sources. Analyses will directly inform prioritization and strategic risk management across the company.

Job Responsibility:

  • Own the design and execution of experimental and observational analyses used to assess strategic risk
  • Develop econometric approaches to estimate the impact of product, policy, and external developments on key risk vectors
  • Translate strategic risk questions into testable hypotheses and sound study designs
  • Design and deploy A/B tests, as well as pseudo-experimental studies, to measure changes in risks and understand underlying mechanisms
  • Identify, test, and explain product-driven, event-driven, or signal-driven changes in risk
  • Establish baselines and statistical confidence around core metrics to size these problems
  • Partner across teams to track strategic risks, identify opportunities for intervention, and develop analyses to evaluate those interventions

Requirements:

  • 3–6+ years in econometrics, causal inference, or experimental research
  • Comfort owning ambiguous analyses with large-scale influence
  • Strong in experimental design, observational methods, and statistical reasoning
  • Write solid Python and SQL
  • Experience delivering zero-to-one analyses and scaling them from concept through deployment
  • Communicate data-driven findings clearly, including uncertainty and trade-offs, to non-technical partners and leadership

Nice to have:

Experience in trust and safety, integrity, operational security, intelligence analysis or other quantitative risk-focused domains

What we offer:
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided
  • Offers Equity
  • Performance-related bonus(es) for eligible employees

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
PREMIUM
More languages and countries
+ Unlock 31696 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist, Strategic Intelligence & Risk

AI Data Scientist

Location
Location
United States , Fort Meade
Salary
Salary:
99000.00 - 225000.00 USD / Year
boozallen.com Logo
Booz Allen Hamilton
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
  • 10+ years of experience in military or government operational level supporting cyberspace, space, or cryptologic operations
  • Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
  • Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
  • Experience working with industry engagements, academia, and technical universities
  • Experience with industry and capability development companies in support of Information Warfare (IW) requirements
  • Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
  • Experience with coordinating operational requirements amongst internal and external staff and intelligence agencies
  • TS/SCI clearance
  • Bachelor’s degree in an Applied Science field
Job Responsibility
Job Responsibility
  • Support strategic operational design and capability development, and apply critical and creative thinking to define the nature of complex national security problems
  • Analyze the client’s mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis
  • Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas
  • Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations
  • Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks and vulnerabilities, and adversarial parameters
What we offer
What we offer
  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
Read More
Arrow Right

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Citi Analytics & Information Management (AIM) team is a global community that ob...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
  • Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
  • Strong understanding of current state of the art ML/AI/Gen AI algorithms
  • Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred
  • Strong coding skill with experience in Bigdata environments
  • Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
  • Strong knowledge of Python, SQL, and Big Data
  • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
  • Model execution and governance experience in any domain will be preferable
  • Proven track record of building and deploying generative models-based solutions in production environments
Job Responsibility
Job Responsibility
  • Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring
  • Lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team
  • Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions
  • Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring
  • Lead as SME in the area of ML/AI/Gen AI
  • Provide technical leadership, mentorship, and guidance to a team of model developers
  • Ensuring 100% execution accuracy
  • Provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations
  • Communicate complex analytical concepts and results to both technical and non-technical audiences
  • Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
  • Fulltime
Read More
Arrow Right

HR Data Scientist

As we progress through an HR transformation and the implementation of Workday, w...
Location
Location
United States , Exton
Salary
Salary:
Not provided
bentley.com Logo
Bentley Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of progressive experience in people analytics, workforce intelligence, data science, or a related analytical role, preferably within a global, complex organization
  • Proven track record of translating complex data into actionable business insights and effectively influencing senior leadership
  • Demonstrated experience in delivering predictive analytics models and translating outputs into business decisions
  • Experience with data extraction/wrangling from multiple systems
  • Experience in the technology, engineering software, or professional services industries is strongly preferred
  • Expert-level proficiency in data visualization tools such as Microsoft PowerBI, Workday
  • Strong skills in data manipulation
  • Expertise or significant experience building and deploying predictive models
  • Demonstrated AI literacy
  • ability to evaluate, validate, and govern AI-generated outputs, including generative AI tools, for accuracy, fairness, and business relevance
Job Responsibility
Job Responsibility
  • Partner with HR leaders to focus the team on the highest value questions and translate business challenges into problems and hypotheses
  • Provide high-level executive briefings, offering strategic recommendations that influence talent strategy, workforce planning, and organizational design
  • Integrate insights across the HR team to provide a single, coherent view of the workforce ecosystem
  • Develop and deploy predictive models to address critical business questions such as turnover forecasting, skills gap analysis, workforce demand planning, and high-performer identification
  • Apply advanced analytics and AI-powered tools to uncover trends, predict future outcomes, and provide data-driven recommendations
  • Research and identify benchmarking, best practices, and market trends
  • Ensure regular, accurate, and timely delivery of workforce analytics and reports to HRBPs, Finance, and business stakeholders
  • Provide clear trend analysis and forward-looking insights that enable stakeholders to better interpret data, identify risks and opportunities, and take informed actions
  • Tailor outputs to audience needs, ensuring relevance, clarity, and impact in decision-making
  • Establish enterprise standards ensuring reporting and dashboards consistently surface insights tied to priority business outcomes
What we offer
What we offer
  • A great Team and culture
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
  • An attractive salary and benefits package
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
  • A company committed to making a real difference by advancing the world's infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world
  • Fulltime
Read More
Arrow Right

Data Scientist

The WW DSP Analytics team is a centralized analytics organization within Amazon'...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • 1+ years of guiding and coaching a group of researchers experience
  • 1+ years of working with or evaluating AI systems experience
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  • Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network
  • Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems
  • Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks
  • Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment.
  • Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders
  • Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality.
  • Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, financial data, operational data) using programming and statistical analysis tools to generate actionable insights
  • Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs
  • Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes
Read More
Arrow Right

Senior Associate, Product Management - Machine Learning and AI

Senior Associate, Product Management - Machine Learning and AI. Product Manageme...
Location
Location
United States , McLean; Charlotte; Richmond
Salary
Salary:
101100.00 - 126900.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree or military experience
  • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering
Job Responsibility
Job Responsibility
  • Lead the development of our next generation of GenAI products
  • Guide the product development teams, and ensure the alignment of product features with strategic business goals
  • Oversee the planning, execution, and delivery of artificial intelligence products within Commercial Bank
  • Collaborate with engineers and data scientists to define product specifications
  • Work with marketing, ops, risk, lending, sales teams to ensure the products resonate with the market
  • Conduct market analysis to identify trends and opportunities for AI applications, techniques
  • Manage the product roadmap, prioritize features, and make strategic decisions to balance business goals with technological & AI capabilities
  • Work with stakeholders across different lines of business including Commercial Real Estate, Corporate Bank, Capital Markets, Treasury Management, etc. to understand user needs, gaps, and opportunities
  • Leverage a design thinking approach to understand user personas and journey to drive problem solving
  • Develop a short to medium-term roadmap for the product based on problems, gaps, and opportunities
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Director - Pricing Analytics

NAPA Auto Parts is seeking a seasoned and results-driven Director to lead and ov...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
genpt.com Logo
Genuine Parts Company
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Business, Economics, Finance, or a related field
  • Minimum of 5 years of experience in pricing analysis or related roles, with at least 2 years in a leadership or management capacity
  • Strong leadership skills with a proven track record of managing and developing high-performing teams
  • Proficiency in BI tools, Microsoft Excel, SQL, and Python for data analysis and visualization
  • Knowledge of pricing software such as PROS or PriceFX is an advantage
  • Exceptional analytical and strategic thinking abilities, with the capacity to translate data into actionable insights
  • Excellent communication, presentation, and interpersonal skills, capable of conveying complex concepts to diverse audiences
  • Detail-oriented mindset with a strong focus on accuracy and precision
  • Demonstrated ability to collaborate effectively with cross-functional teams and influence decision-making
  • Self-motivated, proactive, and adaptable to evolving business needs and market conditions
Job Responsibility
Job Responsibility
  • Lead, mentor, and manage a team of Senior Pricing Analysts and Data Scientists, fostering a collaborative and high-performing team environment
  • Develop and execute pricing strategies in alignment with business objectives, market dynamics, and customer value propositions
  • Oversee the design and implementation of advanced pricing models and methodologies in pricing software, ensuring accurate reflection of market conditions and cost structures
  • Collaborate cross-functionally with Category, Procurement, and IT to gather data and insights for informed pricing decisions
  • Guide the team in conducting comprehensive pricing analysis, leveraging BI tools, Microsoft Excel, SQL, and Python to derive actionable insights
  • Review and analyze pricing performance metrics, market trends, and competitive landscapes to identify opportunities and risks
  • Provide strategic recommendations to executive leadership based on data-driven insights and market intelligence
  • Monitor and evaluate the effectiveness of pricing strategies and initiatives, making adjustments as needed to drive optimal outcomes
  • Develop and present regular reports and presentations on pricing strategy and performance to senior leadership
  • Stay current with industry trends, emerging technologies, and best practices in pricing and data analysis
  • Fulltime
Read More
Arrow Right

Analyst, Revenue Forecasting

The Revenue Forecasting team plays a central role in shaping Airbnb’s financial ...
Location
Location
United States
Salary
Salary:
95000.00 - 112000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of experience in strategic finance, product analytics, business intelligence, management consulting, or investment banking
  • B.A. or B.S. from an accredited four-year college or university
  • Strong financial modeling skills and ability to perform complex analyses to uncover business drivers and generate insights
  • Proficiency in SQL with the ability to write, optimize, and interpret complex queries
  • Strong communication skills, ability to work collaboratively with people at all levels of the organization and make actionable recommendations
  • Strong presentation and collaboration tools experience, including G Suite and Keynote
  • Highly organized, independent, and self-motivated
  • commitment to delivering consistently accurate and high-quality work products
  • Mission-driven, enthusiastic to learn and grow within the SFA organization
  • team-oriented with a positive attitude
Job Responsibility
Job Responsibility
  • Partner with Strategic Finance leaders and Data Scientists to improve forecast accuracy, enhance existing revenue models, and support the development of new financial forecasting frameworks
  • Collaborate with cross-functional partners, including Policy, Treasury, and Payments, to assess and quantify key risks and opportunities across the business
  • Develop and maintain reporting that defines, tracks, and monitors performance of forecasted metrics at a country-level granularity
  • Create presentations in Google Slides to communicate key trends and forecast performance
  • Support monthly and quarterly financial review cycles, ensuring high-quality analysis and timely deliverables
  • Deliver actionable insights through reporting and analytics, proactively identifying opportunities to enhance processes for greater accuracy, efficiency, speed, and accessibility
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
  • Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
  • Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
  • Strong coding skill with experience in Bigdata environments
  • Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
  • Strong knowledge of Python, SQL, and Big Data
  • Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
  • Model execution and governance experience in any domain will be preferable
  • Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
  • At least 8 years of people management experience
Job Responsibility
Job Responsibility
  • Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
  • Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
  • Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
  • Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
  • Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
  • Work as SME in the area of ML/Generative AI
  • Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
  • Stay abreast of the latest advancements, trends and research in AI and ML space
  • Provide technical leadership, mentorship, and guidance to a team of model developers
  • Ensuring 100% execution accuracy
  • Fulltime
Read More
Arrow Right